Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach.
Susie RyuJun Hong KimHeejin YuHwi-Dong JungSuk Won ChangJeong Jin ParkSoonhyuk HongHyung-Ju ChoYoon Jeong ChoiJongeun ChoiJoon Sang LeePublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- medical images
- automatically extracted
- computational fluid dynamics
- obstructive sleep apnea
- artificial intelligence
- ct images
- medical diagnosis
- computed tomography
- patient specific
- numerical simulations
- blood flow
- ct data
- fluid flow
- medical imaging
- flow rate
- sleep apnea
- anatomical structures
- radial basis function neural network
- imaging modalities
- scientific data
- medical image analysis
- mr images
- shear stress
- magnetic resonance
- magnetic resonance imaging
- deformable models
- region of interest
- water flow
- magnetic resonance images
- computer aided diagnosis
- velocity field
- medical data
- expert systems
- fault diagnosis
- ct scans
- heat transfer
- image processing
- level set
- data management
- fuzzy logic
- feature selection